Covid-19: Application of Machine Learning for Wireless Security during a Pandemic
Gerso Guillen1, Jorge Campuzano1, Adan Guadarrama1, Joshua Dare 1
Vahid Emamian2, Senior IEEE Member
1Computer Science Department
2Electrical Engineering Department
St. Mary’s University, San Antonio, TX
Our team has decided that we take care of the low hanging fruit when it comes to wireless network security for homes. We figured that was a good topic since most of us are at home or working from home. Taking on the default insecurities meant that we could use this project to ensure that our home network was secure and any other system that we might visit, be it a friend or family member. We planned to get a data set of all home routers that we could get our hands-on. We might target one brand name of routers or at least the most common ones. We gathered known security configurations commonly known for security issues. We then researched some ML (Machine Learning) algorithms that could help this project out. AI Machine learning will permit for quicker identification of anomalies on any given network, which will then provide us the ability to check if the router has those presets enabled and if the router is vulnerable or not. We can provide lots of relevant information and finish with some useful concrete algorithms already created.
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